SPA: Smart Phone Assisted
Chronic Illness Self-Management with Participatory Sensing
medical system has not adapted effectively to the dramatic change in
needs, which have shifted from acute disease to chronic,
prevention and treatment of cardiovascular
disease, diabetes, hypertension, chronic pain, obesity, asthma, HIV,
and other chronic
illnesses require substantial patient behavior change and
(Glasgow et al., 2006). People
need to monitor
their bodies, reduce physiological arousal, increase physical activity,
avoid or change harmful environments.
people do these tasks poorly—particularly those at increased
risk for health
problems, such as urban minorities—and easily deployed tools
to assist people are
prevention or treatment of chronic
illnesses will be greatly aided by an innovative system that can
bodies, behavior, and environments during daily life, and then instruct
take corrective action when health risks are identified. This goal
Gates’ view, as noted in a recent Wall
Street Journal article, “What we need is to put
people at the very center
of the health-care system and put them in control of all of their
information” (October 5, 2007).
On the other hand, the proliferation of Web-enabled cell
phones, which allow us to sensor the physical environment, such as
sound, images, locations, and so on, has created a new computing
paradigm, participatory sensing, which will task deployed mobile
devices to form interactive, participatory sensor networks that enable
public and professional users to gather, analyze and share local
knowledge. The joint force of "technology push" and "application pull''
drives us to develop a novel approach for chronic
illness self-management. The SPA project.
propose to develop SPA, a Smart Phone based system that assists chronic
illness self-management. In the initial step, we build a prototype that leverage smart
phone and body area
network of biosensors to measure a person’s heart
physical activity (actigraph), and exposure to environmental noise. The Smart phone transmits
bio-environmental sensor data from the body area network to a central
server. The server
collects, analyzes, and feeds back
instructions to the Smart phone user, based on predetermined
algorithms. We will
field test the system on a small
sample of urban African Americans to ensure its acceptability and
and we will demonstrate the validity of the obtained data by sending to
participants brief survey questions via the text option on the cell
questions will assess the participant’s stress,
activity, and environment, and survey responses will confirm that the
sensor-based data are consistent with the participant’s
future research, we will adapt this
system to monitor other physiological parameters specific to certain
(e.g., blood pressure for those with hypertension, blood glucose for
with diabetes, muscle tension for people with chronic pain). Also, future uses could
environmental risk factors, such as using global positioning to help
avoid unhealthy locations (e.g., for people trying to avoid alcohol or
We have developed a prototype running on top of Nokia N95, donated by Nokia. More details of the project will come soon.
This project has been
partially supported by Swedish Council for Working Life and Social
Research (2009-2012) and Wayne State University (2007-2008).
Kewei Sha (Now at Oklahoma City University)
Dr. Weisong Shi
Bengt B. Arnetz, Department of Family Medicine and Public
Mark A. Lumley, Department of Psychology
Dr. Clairy Wiholm, Department of Family Medicine
- Kewei Sha and Weisong Shi, Consistency-Driven Data Quality
Management in Wireless Sensor Networks, Journal of Parallel and Distributed Computing, Vol. 68, No. 9, pp. 1207-1221, September 2008.
- Junzhao Du and Weisong Shi, App-MAC: An Application-Aware Event-Oriented MAC
Protocol for Multimodality Wireless Sensor Networks,
accepted by IEEE Transactions on Vehicular Technology.
- Kewei Sha, Guoxing Zhan, Weisong Shi,
Mark Lumley, Clairy Wiholm and Bengt Arnetz, SPA: A Smart Phone Assisted Chromic Illness
Self-Management System with Participatory Sensing, in Proceedings of
2008, in conjunction with ACM/USENIX MobiSys 2008, Breckenridge,
Colorado, June 17, 2008.
Weisong Shi, Availability
Modeling and Analysis of Autonomous In-Door WSNs, in Proceedings of the
4th IEEE International Conference on Mobile
Ad-Hoc and Sensor Systems (MASS), Pisa,
Itlay, Oct 8-11, 2007. (Accept rate: 25%, 67 out of 265).
Al-Omari and Weisong Shi, Towards
Highly-Available WSNs for Assisted Living, in Proceedings of HealthNet 2007,
in conjunction with USENIX/ACM MobiSys 2007, June 11-14, San Juan.
(Accept rate: 24%, 12 out of 50).
Sha and Weisong Shi, Modeling Data Consistency in
Wireless Sensor Networks, in Workshop
Proceedings of ICDCS 2007 (WWASN 2007), Toronto, June 25-29, 2007.
(Accept rate: 30%)
- John P. Walters,
Zhengqiang Liang, Weisong Shi, and Vipin Chaudhary, Wireless
Sensor Networks Security: A Survey, book chapter of
Security in Distributed, Grid, and Pervasive Computing, Yang
Xiao (Eds.), Auerbach Publications, pp. 367-410, April
- Kewei Sha
and Weisong Shi, Consistency-Driven Data Quality Management in WSNs,
MIST-TR-2006-013, December, 2006. submitted.
Al-Omari, Junzhao Du, and Weisong Shi, Score:
A Sensor Core Framework for Cross-Layer Design (extended
Proceedings of the 3rd International Conference on Quality-of-Service
in Wired/Wireless Networks (QShine 2006), Waterloo, Canada, August 7-9,
Sha and Weisong Shi, On the Effects of Consistency in
Data Operations in Wireless Sensor Networks, in
Proceedings of the IEEE 12th International Conference on Parallel and
Distributed Systems (ICPADS '2006), Minneapolis, USA, July 12-15, 2006.